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shall be assessed at regular points in time. Who we are The energy transition poses fundamental challenges for our power grids: large conventional power plants with synchronous generators are successively
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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/departments-and-centres/department-of-man... Job Responsibilities The primary tasks will include: Support for research activities in medium and large EU-funded projects, including follow-up on research
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that unites leading researchers across Denmark and the University of Oxford (UK) to advance data-driven precision medicine by integrating large-scale register, clinical, and multi-omics data
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, and characterization). Enzyme research (e.g. characterization, inhibition, and modulation of enzymatic activities). Agricultural science. Environmental technology. Further information For further
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ExcellentEnglishlanguageskills(bothoralandwritten).Publicationsininternational journals/conferences will be valued. Who we are The energy transition poses fundamental challenges for our power grids: large conventional power
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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life
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at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain
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-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT
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concerns an integrative effort where several cryo-EM structures are used to develop donor and acceptor labelled proteins and complexes to follow their large scale rearrangements by single-molecule